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Title: The IEA/ORAU Long-Term Global Energy- CO2 Model: Personal Computer Version A84PC

The IBM A84PC version of the Edmonds-Reilly model has the capability to calculate both CO2 and CH4 emission estimates by source and region. Population, labor productivity, end-use energy efficiency, income effects, price effects, resource base, technological change in energy production, environmental costs of energy production, market-penetration rate of energy-supply technology, solar and biomass energy costs, synfuel costs, and the number of forecast periods may be interactively inspected and altered producing a variety of global and regional CO2 and CH4 emission scenarios for 1975 through 2100. Users are strongly encouraged to see our instructions for downloading, installing, and running the model.
Authors:
; ;  [1] ;  [1] ;
  1. CDIAC
Publication Date:
Report Number(s):
CMP-002/PC; ORNL/CDIC-16
DOE Contract Number:
AC05-84OR21400
Product Type:
Dataset
Research Org(s):
Environmental System Science Data Infrastructure for a Virtual Ecosystem; Carbon Dioxide Information Analysis Center (CDIAC), Oak Ridge National Laboratory (ORNL), Oak Ridge, Tennessee (USA); Institute for Energy Analysis, Oak Ridge Associated Universities, Washington, D.C. (USA)
Sponsoring Org:
USDOE Office of Science (SC)
Subject:
54 ENVIRONMENTAL SCIENCES; 97 MATHEMATICS AND COMPUTING
OSTI Identifier:
1389431

Edmonds, Jae A., Reilly, John M., Boden, Thomas A., Reynolds, S. E., and Barns, D. W. The IEA/ORAU Long-Term Global Energy- CO2 Model: Personal Computer Version A84PC. United States: N. p., Web. doi:10.3334/CDIAC/ESS.CMP002.
Edmonds, Jae A., Reilly, John M., Boden, Thomas A., Reynolds, S. E., & Barns, D. W. The IEA/ORAU Long-Term Global Energy- CO2 Model: Personal Computer Version A84PC. United States. doi:10.3334/CDIAC/ESS.CMP002.
Edmonds, Jae A., Reilly, John M., Boden, Thomas A., Reynolds, S. E., and Barns, D. W. 1995. "The IEA/ORAU Long-Term Global Energy- CO2 Model: Personal Computer Version A84PC". United States. doi:10.3334/CDIAC/ESS.CMP002. https://www.osti.gov/servlets/purl/1389431.
@misc{osti_1389431,
title = {The IEA/ORAU Long-Term Global Energy- CO2 Model: Personal Computer Version A84PC},
author = {Edmonds, Jae A. and Reilly, John M. and Boden, Thomas A. and Reynolds, S. E. and Barns, D. W.},
abstractNote = {The IBM A84PC version of the Edmonds-Reilly model has the capability to calculate both CO2 and CH4 emission estimates by source and region. Population, labor productivity, end-use energy efficiency, income effects, price effects, resource base, technological change in energy production, environmental costs of energy production, market-penetration rate of energy-supply technology, solar and biomass energy costs, synfuel costs, and the number of forecast periods may be interactively inspected and altered producing a variety of global and regional CO2 and CH4 emission scenarios for 1975 through 2100. Users are strongly encouraged to see our instructions for downloading, installing, and running the model.},
doi = {10.3334/CDIAC/ESS.CMP002},
year = {1995},
month = {1} }
  1. The U.S. Department of Energy’s (DOE) Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) is a data archive for Earth and environmental science data. The mission of ESS-DIVE is to preserve, expand access to, and improve usability of critical data generated through DOE-sponsored research of terrestrial and subsurface ecosystems. By making ESS research data easily accessible, ESS-DIVE has the potential to advance the scientific understanding and prediction of hydro-biogeochemical and ecosystem processes that occur from bedrock through soil and vegetation to the atmospheric interface.
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